Target Perception and Digital Reconstruction for Low Altitude Economy Based on Multi-radar Data Fusion

With the rapid development of low-altitude economy, UAVs has been used more and more widely. The perception and management of UAVs is also becoming increasingly important. In order to solve the challenges of early-stage detection of low-altitude UAVs, the theory and new technologies of radar signal transmission and cooperative perception are developed to provide basic theories and transmission systems for the development of future mobile communication networks. At the same time, using Digital Twin technology to model the virtual scene of UAVs presents a novel approach for the management of UAVs. However, it is difficult to use a single radar to sense the low-altitude targets to achieve the purpose of continuous detection in a large area. This paper investigates the UAVs large-scale continuous detection based on multi-radar station collaboration. To realize continuous tracking and detection of UAVs in a wide range of areas, the cooperation of multiple radar stations is realized through multi-view sensing. Through the design of abnormal radar data detection and decision level data fusion, we achieved multi-radar precision perception of the UAVs. Simulation results show the effectiveness of the proposed algorithm in the aspect of the real-time perception of UAVs. In addition, we also constructed a model of the virtual scene of the UAVs, indicating the direction of the Digital Twin of the UAVs.